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The Determination of Socio-Economic Factors Affecting Student Success by Data Mining Methods

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Date

2013

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Publisher

Ieee

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Green Open Access

No

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Abstract

The success of socio-economic level on students is a fact. The economic level and conditions combined with the student's potential make itself felt at the ultimate level. In this research, it was established that success and socio-economic factors which can attract the attention are effectively observed on particularly female students. It was ensured that a real and sound socio-economic criteria for success be determined by evaluating success and failure at terminal points. Decision trees and chi-square test were used in the implementation.

Description

Keywords

Data Mining, Decision Tree, Ibm Moduler, Navie Bayes

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Atalay, Veli; Ustun, Suleyman; Bulbul, Selin, "The Determination Of Socio-Economic Factors Affecting Student Success By Data Mining Methods", 2013 12th International Conference On Machine Learning and Applıcations (Icmla 2013), pp. 540-542, (2013).

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1

Source

12th International Conference on Machine Learning and Applications (ICMLA) -- DEC 04-07, 2013 -- Miami, FL

Volume

Issue

Start Page

540

End Page

542
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Scopus : 1

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Mendeley Readers : 7

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1

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1

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6

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